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How AI and Analytics Can Renovate the Auto Industry

By Auto Tech Outlook | Monday, August 10, 2020

Automotive industry can achieve new levels of innovation, productivity and investment through the platform of advanced automation.

FREMONT, CA: In an age of transformation, Artificial intelligence and advanced analytics are creating new opportunities for organizations to compete. Business owners should think in terms of advanced technologies to enhance the outcomes of the business.

Let us look at some common uses of artificial intelligence tools in the automotive industry.

Manufacturing: AI-powered applications can create schedules and manage workflows, and can ensure safety alongside humans on factory floors and assembly lines. It can also identify manufacturing defects of the vehicles. These features will help the manufacturers reduce costs and downtime in production lines, while support in delivering better-finished products to consumers.

Supply chain: Nowadays, there are many extremely complex supply chains in the automotive industry. Even a small breakdown in the supply chain can be pricey. AI will help the manufacturer to gain control over the supply chains, automating requests for parts, labor, tools, and repairs.

Check This Out: Top Automotive Safety Companies

Quality control: AI-enables tools can visually inspect components and products to identify the defects. In this way, the system can provide excellent QC on various products, such as machined parts, painted car bodies, textured metal surfaces, and more.

Driver-assist: Driver-assistance features are available in some of the vehicles. This system will alert drivers to hazardous road conditions, monitor blind spots in the driver’s view, and assist with steering. It is a lifesaver as well because it can take automated actions to help vehicles avoid accidents.

Autonomous vehicles: The automotive industry is trying to incorporate several technologies such as deep learning neural networks, natural language processing, and gesture-control features to enable driverless driving.

Major car companies are trying to meet their ambitious goal to introduce fully autonomous vehicle by 2021. This crucial goal will remain unachievable without the support of AI and analytics. Generally, autonomous car tests generate a massive amount of data per car. AI can help the engineers to channelize the data into valuable and non-valuable ones. With the help of big data analytics, engineers can get a several-hundred-gigabyte file in minutes. Combining the automotive research and development (R&D) world and the data science worlds could expose the carmakers to the world of innovative technologies.

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